Triple
T8506001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford University Department of Mathematics |
E201332
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Stanford University Department of Statistics |
E201333
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Stanford University Department of Statistics | Statement: [Stanford University Department of Mathematics, collaboratesWith, Stanford University Department of Statistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanford University Department of Statistics Context triple: [Stanford University Department of Mathematics, collaboratesWith, Stanford University Department of Statistics]
-
A.
Stanford University Department of Statistics
chosen
The Stanford University Department of Statistics is a leading academic department renowned for its research and teaching in probability, statistics, and data science.
-
B.
Department of Statistics (UC Berkeley)
The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
-
C.
Department of Statistical Science
The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
-
D.
Department of Statistics and Data Science
The Department of Statistics and Data Science is an academic unit specializing in statistical theory, data analysis, and computational methods within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences.
-
E.
Department of Statistics (Purdue University)
The Department of Statistics at Purdue University is a leading academic department known for its research and education in statistical theory, methodology, and applications across diverse scientific fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5db51e4819098dde316e87e8b0d |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e3037e4819090677c7dc607e8f2 |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:14 p.m.